Comparative study of phenotypic and genotypic expression of virulence factors in colonizing and pathogenic carbapenem resistant Acinetobacter baumannii (CRAB).

Carbapenem resistant Acinetobacter baumannii has evolved as the most troublesome microorganism with multiple virulence factors. Biofilm formation, porins, micronutrient capturing mechanism and quorum sensing, provide protection against desiccation, host-pathogen killing and enhance its persistence. The conservation of these factors between colonizing and pathogenic carbapenem resistant A.

Optimized microwave-assisted extraction and characterization of spray dried Luffa aegyptiaca nanomucilage: Physicochemical properties, biological activities, and anticancer efficacy against MCF-7 human breast cancer cells.

Microwave-assisted extraction conditions were optimized using response surface methodology to evaluate the effects of extraction parameters on the yield and carbohydrate content of Luffa aegyptiaca mucilage. Extraction at 540 W for 2 min with a 1:20 (g/mL) was determined as the optimal parameter, resulting in a maximum yield of 5.90 % (w/w) with 63 % carbohydrate content consisting of glucose, galactose, maltose, mannose, and galacturonic acid, with structural linkages of β (1 → 4) and β (1 → 6) glycosidic bonds.

Advancing siRNA Therapeutics targeting MCT-4: A Multifaceted approach integrating Arithmetical Designing, Screening, and molecular dynamics validation.

Monocarboxylate transporter 4 (MCT-4) is involved in various metabolic processes which are crucial in maintaining cellular pH and energy metabolism, and thus influence the tumor microenvironment. The study is aimed to rationally design effective Small interfering RNA (siRNA) that can silence MCT-4. We utilized a comprehensive workflow integrating multiple tools such as siDirect version 2.

Marine-derived bioactive compounds for neuropathic pain: pharmacology and therapeutic potential.

Neuropathic pain, a challenging condition often associated with diabetes, trauma, or chemotherapy, impairs patients' quality of life. Current treatments often provide inconsistent relief and notable adverse effects, highlighting the urgent need for safer and more effective alternatives. This review investigates marine-derived bioactive compounds as potential novel therapies for neuropathic pain management.

COX-2 Inhibitor Prediction With KNIME: A Codeless Automated Machine Learning-Based Virtual Screening Workflow.

Cyclooxygenase-2 (COX-2) is an enzyme that plays a crucial role in inflammation by converting arachidonic acid into prostaglandins. The overexpression of enzyme is associated with conditions such as cancer, arthritis, and Alzheimer's disease (AD), where it contributes to neuroinflammation. In silico virtual screening is pivotal in early-stage drug discovery; however, the absence of coding or machine learning expertise can impede the development of reliable computational models capable of accurately predicting inhibitor compounds based on their chemical structure.